Course Structure Overview
The Electrical Engineering curriculum at Govt Polytechnic Satpuli is structured over eight semesters, combining foundational science subjects, core engineering principles, departmental electives, and practical lab experiences. Each semester builds upon previous knowledge while introducing new concepts relevant to industry demands.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ES101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ES102 | Physics for Engineers | 3-1-0-4 | None |
| 1 | ES103 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ES104 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | ES105 | Introduction to Programming | 2-1-0-3 | None |
| 1 | ES106 | Engineering Graphics | 2-0-0-2 | None |
| 2 | ES201 | Engineering Mathematics II | 3-1-0-4 | ES101 |
| 2 | ES202 | Electrical Circuits and Networks | 3-1-0-4 | ES104 |
| 2 | ES203 | Digital Logic Design | 3-1-0-4 | ES104 |
| 2 | ES204 | Electromagnetic Fields | 3-1-0-4 | ES102 |
| 2 | ES205 | Basic Electronics | 3-1-0-4 | ES104 |
| 2 | ES206 | Workshop Practice | 0-0-2-2 | None |
| 3 | ES301 | Signals and Systems | 3-1-0-4 | ES201 |
| 3 | ES302 | Electrical Machines I | 3-1-0-4 | ES202 |
| 3 | ES303 | Control Systems | 3-1-0-4 | ES201 |
| 3 | ES304 | Power Electronics | 3-1-0-4 | ES205 |
| 3 | ES305 | Electronics Lab | 0-0-2-2 | ES205 |
| 3 | ES306 | Computer Programming | 2-1-0-3 | ES105 |
| 4 | ES401 | Electrical Machines II | 3-1-0-4 | ES302 |
| 4 | ES402 | Power Systems | 3-1-0-4 | ES302 |
| 4 | ES403 | Digital Signal Processing | 3-1-0-4 | ES301 |
| 4 | ES404 | Communication Systems | 3-1-0-4 | ES301 |
| 4 | ES405 | Embedded Systems | 3-1-0-4 | ES205 |
| 4 | ES406 | Project I | 0-0-6-6 | None |
| 5 | ES501 | Power System Protection | 3-1-0-4 | ES402 |
| 5 | ES502 | Renewable Energy Systems | 3-1-0-4 | ES402 |
| 5 | ES503 | Industrial Automation | 3-1-0-4 | ES303 |
| 5 | ES504 | Advanced Control Systems | 3-1-0-4 | ES303 |
| 5 | ES505 | Microcontroller Applications | 3-1-0-4 | ES205 |
| 5 | ES506 | Project II | 0-0-6-6 | None |
| 6 | ES601 | Smart Grid Technologies | 3-1-0-4 | ES502 |
| 6 | ES602 | Power Quality Analysis | 3-1-0-4 | ES402 |
| 6 | ES603 | Machine Learning for Electrical Engineering | 3-1-0-4 | ES301 |
| 6 | ES604 | Electrical Safety and Standards | 3-1-0-4 | ES302 |
| 6 | ES605 | IoT and Embedded Systems | 3-1-0-4 | ES505 |
| 6 | ES606 | Project III | 0-0-6-6 | None |
| 7 | ES701 | Capstone Project I | 0-0-8-8 | None |
| 7 | ES702 | Research Methodology | 2-0-0-2 | None |
| 7 | ES703 | Elective I | 3-1-0-4 | None |
| 7 | ES704 | Elective II | 3-1-0-4 | None |
| 7 | ES705 | Professional Ethics | 2-0-0-2 | None |
| 7 | ES706 | Industrial Training | 0-0-10-10 | None |
| 8 | ES801 | Capstone Project II | 0-0-12-12 | None |
| 8 | ES802 | Elective III | 3-1-0-4 | None |
| 8 | ES803 | Elective IV | 3-1-0-4 | None |
| 8 | ES804 | Entrepreneurship and Innovation | 2-0-0-2 | None |
| 8 | ES805 | Internship Report | 0-0-10-10 | None |
| 8 | ES806 | Final Thesis | 0-0-12-12 | None |
Advanced Departmental Electives
Departmental electives provide students with the opportunity to explore specialized areas of interest within electrical engineering. These courses are designed to align with current industry trends and emerging technologies, ensuring that students remain competitive in the global job market.
1. Renewable Energy Systems
This elective explores the integration of renewable energy sources such as solar, wind, hydroelectric, and geothermal into electrical grids. Students study photovoltaic systems, wind turbine design, energy storage technologies, and smart grid integration strategies. The course emphasizes both theoretical understanding and practical application through simulations and real-world case studies.
2. Power Quality Analysis
Power quality refers to the characteristics of electricity supplied to consumers. This course delves into issues like harmonics, voltage fluctuations, and power factor correction. Students learn how to diagnose power quality problems using specialized tools and develop solutions for maintaining stable electrical systems in industrial and commercial settings.
3. Machine Learning for Electrical Engineering
This course bridges the gap between traditional electrical engineering and modern data science techniques. It introduces students to machine learning algorithms such as neural networks, decision trees, and clustering methods applied to power system optimization, predictive maintenance, and automated control systems. Practical labs involve coding exercises using Python and MATLAB.
4. Smart Grid Technologies
Smart grids represent the evolution of traditional electrical infrastructure into intelligent networks capable of self-monitoring, responding, and adapting to changes in demand or supply. This course covers communication protocols, sensor integration, cybersecurity, and automation technologies used in smart grid implementation.
5. Industrial Automation and Control
Students learn about programmable logic controllers (PLCs), human-machine interfaces (HMIs), and distributed control systems. The course combines theory with hands-on experience using industrial-grade simulation software and real-time control hardware, preparing students for roles in manufacturing and automation sectors.
6. Embedded Systems Design
This elective focuses on designing embedded systems for specific applications such as automotive electronics, medical devices, and IoT sensors. Students gain proficiency in microcontroller programming, digital logic design, and real-time operating system concepts. Labs involve building functional prototypes using Arduino and Raspberry Pi platforms.
7. Electrical Safety and Standards
This course covers electrical safety regulations, standards, and best practices for protecting personnel and equipment. Topics include grounding systems, circuit protection, hazard analysis, and compliance with national and international codes. The curriculum includes practical exercises involving safety assessments and emergency response procedures.
8. Advanced Power Electronics
Building on foundational power electronics concepts, this course explores high-efficiency converters, inverters, and motor drives used in renewable energy systems and electric vehicles. Students study switching techniques, power factor correction, and control strategies for advanced power conversion applications.
9. Digital Signal Processing Applications
This elective emphasizes practical implementation of digital signal processing techniques in audio, image, and biomedical signal analysis. Students learn how to design filters, perform spectral analysis, and implement algorithms using MATLAB or Python. Case studies include speech recognition systems, medical imaging systems, and radar signal processing.
10. Communication Systems Design
This course covers the principles of analog and digital communication systems including modulation techniques, channel coding, and error detection methods. Students engage in designing communication protocols for wireless networks, satellite systems, and fiber optic transmission lines using simulation tools like MATLAB or Simulink.
Project-Based Learning Philosophy
Project-based learning is a cornerstone of the Electrical Engineering program at Govt Polytechnic Satpuli. It encourages students to apply theoretical knowledge to real-world problems through collaborative, hands-on projects that mirror professional engineering environments.
Mini-Projects (Semesters 4 & 5)
Mini-projects are introduced in the fourth and fifth semesters as a way for students to gain early exposure to practical engineering challenges. These projects typically last two to three months and involve small teams of 3–5 students working under faculty supervision. Students are expected to define project scope, conduct literature reviews, design solutions, prototype components, and present findings.
Final-Year Thesis/Capstone Project (Semesters 7 & 8)
The final-year capstone project is the most significant component of the program. It spans both semesters seven and eight and requires students to tackle a substantial engineering problem or innovation. Projects are selected based on student interests, faculty availability, and industry relevance. Faculty mentors guide students throughout the process, from idea generation to final documentation and presentation.
Evaluation Criteria
Projects are evaluated using a rubric that includes technical proficiency, creativity, teamwork, communication, and adherence to engineering standards. Students must submit progress reports, mid-term presentations, and a final comprehensive report along with a demonstration or prototype of their work. This approach ensures that students not only learn the content but also develop critical thinking and problem-solving skills essential for professional success.